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will investigate how visual and radiological sensing and characterization can be combined into a unified digital representation, exploring how nuclear detectors, via gamma cameras and regular nuclear
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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. More concretely your work package, for the preparation of a doctorate, contains: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We
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bring science to life. Main responsibilities: Content creation You translate scientific content into accessible and attractive visuals, videos, reels, and social content. This includes creating strong
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following up on large scale characterization Analysing and visualizing performance data from die-to-die, wafer-to-wafer, and lot-to-lot Improving existing photonic platforms and contributing
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focuses on understanding the molecular and cellular mechanisms of systemic amyloid deposition, with particular emphasis on AL and ATTR amyloidosis. We use in situ structural approaches to visualize amyloid
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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including
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of computational pipelines and analyses Troubleshoot and resolve issues in existing packages and pipelines Develop new visualizations of biological data for your colleagues and the community Your profile Essential
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research by: 🐟 Developing a smad3 knockout zebrafish model, 🔬 Optimizing in vivo visualization of aortic enlargement and molecular dysfunction, 💊 Developing a pathogenic signalling-based drug screening